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Table 5 Estimates of AUC-ROC and AUC-PR of different methods for imbalanced dataset in predicting donor splice sites using human, bovine, fish and worm species

From: Identification of donor splice sites using support vector machine: a computational approach based on positional, compositional and dependency features

  Species Approaches
MM1-SVM LIK-SVM WD-SVM WDS-SVM EFFECT Proposed
AUC-ROC Human 97.32 97.61 97.73 97.30 97.42 97.21
Bovine 97.57 97.89 97.93 97.65 97.70 97.45
Fish 97.71 97.85 97.92 97.77 97.57 97.41
Worm 97.99 98.26 98.51 98.30 98.45 98.06
AUC-PR Human 89.95 92.23 92.36 92.17 92.41 93.24
Bovine 90.02 92.13 92.39 92.16 92.42 93.34
Fish 90.10 92.18 92.43 92.26 92.47 93.38
Worm 89.10 90.27 90.89 91.53 91.67 92.29
  1. It can be seen that the values of AUC-ROC of proposed approach are at par with that of others, whereas the values of AUC-PR for the proposed approach are little higher than that of other approaches, in all the four species